Project description
AI solutions for mass customisation
The digitalisation of European industry with artificial intelligence (AI) tools is paving the way for Industry 4.0. In turn, AI is permeating the entire Industry 4.0 ecosystem, on the production floor and beyond. In the case of mass customisation, the ability to manufacture customised products at mass production efficiency and speed hinges on the modularisation capabilities and flexibility of the production process. The EU-funded MAS4AI will develop a system that allows the deployment and synchronisation of different AI agents in manufacturing for autonomous modular production and human assistance. By incorporating AI technologies, the project will optimise manufacturing costs and adapt routes, tools and parameters.
Objective
European industry has been very competitive on the global markets by utilizing highly efficient Artificial Intelligence (AI) tools and massively producing high quality products. The advent for mass customization has been stressing the capability of modularization and flexibility of production processes through the incorporation of AI technologies. However, the communication between the different automation systems has not been yet accomplished efficiently since they lack interoperability and are restricted to their own system of coordination. The MAS4AI proposal proposes a system that allows the deployment and synchronization of different AI agents in manufacturing for autonomous modular production and human assistance. The MAS4AI system will be heavily driven by large industrial cases and will aim towards digitalising European industry with AI tools according to the Industry 4.0 paradigm. MAS4AI will develop its overall ambition by the means of four Scientific and Technological objectives namely: a) Multi-Agents-System (MAS) for distributing AI components in different hierarchy layers, customers and suppliers for realising refurbishment activities, b) AI agents using Knowledge-based Representation with Semantic Web Technologies, c) AI Agents for hierarchical planning of production processes, d) model-based Machine Learning (ML) AI agent. MAS4AI research and technological activity will be strongly driven by a set of industrial use cases which will be then used as demonstrators. The demonstrators involve important industrial sectors of high value added for Europe, namely AI technologies used for automotive, contract manufacturing, bicycle industry, bearings production and wood processing industry.
Fields of science
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systems
- engineering and technologymaterials engineeringwoodworking
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
- natural sciencescomputer and information sciencesinternetsemantic web
- agricultural sciencesagriculture, forestry, and fisheriesforestry
Keywords
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
67663 Kaiserslautern
Germany
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Participants (17)
2595 DA Den Haag
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265 04 Rio Patras
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20009 DONOSTIA-SAN SEBASTIAN (GIPUZKOA)
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36410 Porrino
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40-007 KATOWICE
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38440 Wolfsburg
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47900 Rimini
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
47921 RIMINI
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78138 Siauliai
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5700 AG Helmond
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50197 Zaragoza
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
5653 PX Eindhoven
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
115 27 ATHINA
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
70565 Stuttgart
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
48160 Derio
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
10090 Villarbasse
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03154 Vilnius
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.